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(Python required; R, C++ appreciated). Strong interest in network modeling, multi-criteria optimization, or graph theory. Skills in statistics and data analysis. Experience in 3D modeling, phenotyping
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networks (GNNs) to accelerate therapeutic target identification. GenePPS aims to overcome current limitations of perturbation modelling by integrating large-scale single-cell foundation models with
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of electrochemical reactions carried out under strong, controlled magnetic fields. Part of the work will involve establishing an in-situ characterisation method, supplemented by research into optimal experimental
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of the project is to design, model and simulate neural networks based on magnetic skyrmion nucleation and propagation. The second objective is to fabricate these hardware neural networks, characterize
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 2 months ago
nationalities. The research project will lay the theoretical foundations for general network steering by: (i) Identifying its genuine concepts and manifestations, (ii) developing tools for its characterization
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validated at CPPM. In parallel, the candidate will improve data reconstruction algorithms by using artificial intelligence techniques (e.g. neural networks), to optimize the separation between signal and
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techniques; Structural and functional characterization of interfaces and junctions, in particular through nanoscale analyses; Development, adaptation, and optimization of experimental methodologies
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opportunities for independence, international networking, and leadership development in preparation for future fellowships. Where to apply E-mail rita.manco@inserm.fr Requirements Research FieldBiological